/*
 * Copyright 2017 Datamountaineer.
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package com.datamountaineer.streamreactor.connect.jms.sink.converters

import java.io.ByteArrayOutputStream
import javax.jms.{BytesMessage, Session}

import com.datamountaineer.streamreactor.connect.jms.config.JMSSetting
import com.datamountaineer.streamreactor.connect.schemas.ConverterUtil
import com.datamountaineer.streamreactor.connect.serialization.AvroSerializer
import org.apache.kafka.connect.sink.SinkRecord

class AvroMessageConverter extends JMSMessageConverter with ConverterUtil {

  override def convert(record: SinkRecord, session: Session, setting: JMSSetting): (String, BytesMessage) = {
    val converted =  super[ConverterUtil].convert(record, setting.fields, setting.ignoreField)
    val avroRecord = convertValueToGenericAvro(converted)
    val avroSchema = avroData.fromConnectSchema(converted.valueSchema())

    implicit  val os = new ByteArrayOutputStream()
    AvroSerializer.write(avroRecord, avroSchema)

    val message = session.createBytesMessage()
    message.writeBytes(os.toByteArray)
    (setting.source, message)
  }
}
